activity
20172023
most citedDeveloping an edge computing platform for real-time descriptive analytics

33 citations · 53 across the 8 of their papers we have counts for

collaborators

9 papers

cs.LG2023

ECAvg: An Edge-Cloud Collaborative Learning Approach using Averaged Weights

Atah Nuh Mih, Hung Cao, Asfia Kawnine +1

The use of edge devices together with cloud provides a collaborative relationship between both classes of devices where one complements the shortcomings of the other. Resource-cons…

cs.NI2023

Fostering new Vertical and Horizontal IoT Applications with Intelligence Everywhere

Hung Cao, Monica Wachowicz, Rene Richard +1

Intelligence Everywhere is predicated on the seamless integration of IoT networks transporting a vast amount of data streams through many computing resources across an edge-to-clou…

cs.CV2023

TransferD2: Automated Defect Detection Approach in Smart Manufacturing using Transfer Learning Techniques

Atah Nuh Mih, Hung Cao, Joshua Pickard +2

Quality assurance is crucial in the smart manufacturing industry as it identifies the presence of defects in finished products before they are shipped out. Modern machine learning…

cs.SI2018★ 3 cited

Exploring the use of time-varying graphs for modelling transit networks

Ikechukwu Maduako, Emerson Cavalheri, Monica Wachowicz

The study of the dynamic relationship between topological structure of a transit network and the mobility patterns of transit vehicles on this network is critical towardsdevising s…

cs.CY2017★ 10 cited

An edge-fog-cloud platform for anticipatory learning process designed for Internet of Mobile Things

Hung Cao, Monica Wachowicz, Chiara Renso +1

This paper presents a novel architecture for data analytics targeting an anticipatory learning process in the context of the Internet of Mobile Things. The architecture is geo-dist…

cs.DC2017

Implementing an Edge-Fog-Cloud architecture for stream data management

Lilian Hernandez, Hung Cao, Monica Wachowicz

The Internet of Moving Things (IoMT) requires support for a data life cycle process ranging from sorting, cleaning and monitoring data streams to more complex tasks such as queryin…

cs.DC2017★ 3 cited

Combining edge and cloud computing for mobility analytics

Ikechukwu Maduako, Hung Cao, Lilian Hernandez +1

Mobility analytics using data generated from the Internet of Mobile Things (IoMT) is facing many challenges which range from the ingestion of data streams coming from a vast number…

cs.CY2017★ 4 cited

The design of a streaming analytical workflow for processing massive transit feeds

Hung Cao, Monica Wachowicz

Retrieving and analyzing transit feeds relies on working with analytical workflows that can handle the massive volume of data streams that are relevant to understand the dynamics o…

cs.CY2017★ 33 cited

Developing an edge computing platform for real-time descriptive analytics

Hung Cao, Monica Wachowicz, Sangwhan Cha

The Internet of Mobile Things encompasses stream data being generated by sensors, network communications that pull and push these data streams, as well as running processing and an…